Name
Abstract | ||
|---|---|---|
This paper addresses the problem of 3D neuron tips detection in volumetric microscopy image stacks. We focus particularly on neuron tracing applications, where the detected 3D tips could be used as the seeding points. Most of the existing neuron tracing methods require a good choice of seeding points. In this paper, we propose an automated neuron tips detection method for volumetric microscopy image stacks. Our method is based on first detecting 2D tips using curvature information and a ray-shooting intensity distribution model, and then extending it to the 3D stack by rejecting false positives. We tested this method based on the V3D platform, which can reconstruct a neuron based on automated searching of the optimal 隆®paths' connecting those detected 3D tips. The experiments demonstrate the effectiveness of the proposed method in building a fully automatic neuron tracing system. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1109/BIBM.2011.126 | BIBM |
Keywords | Field | DocType |
neuron tip detection,existing neuron,volumetric microscopy images,v3d platform,detection method,volumetric microscopy image stack,curvature information,automatic neuron,seeding point,automated neuron tip,neuron tips detection,ray tracing,false positive,neurophysiology | Object detection,Computer vision,Distribution model,Curvature,Stack (abstract data type),Computer science,Ray tracing (graphics),Artificial intelligence,Microscopy,Tracing | Conference |
ISSN | Citations | PageRank |
2156-1125 | 3 | 0.38 |
References | Authors | |
8 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Min Liu | 1 | 3 | 0.38 |
| Hanchuan Peng | 2 | 3930 | 182.27 |
| Amit K. Roy Chowdhury | 3 | 1153 | 73.96 |
| Eugene Myers | 4 | 3164 | 496.92 |